Hi Folks,
I am having great difficulty determining why my XSLT neural network program
runs so slow. I am currently focusing on the f:train function. The Saxon
profile tool reports the gross total time for one call to the f:train function
is 5,460.326 ms.
To see how much time each statement in f:train takes, Michael Müller-Hillebrand
suggested that I put each statement into its own function. Great idea! I did
so. I ran the Saxon profile tool on the modified f:train and you can see below
the gross total time required for each statement (each statement is now in its
own function). I summed their times and it came to a total of 8.742 ms. So, the
f:train function should take 8.742 ms but instead it takes 5,460.326 ms. How
can it possibly be that the time to execute the f:train function is 625 times
greater than the sum of the times to execute the statements in the function?
Any suggestions?
/Roger
f:count-inputs-list 0.016
f:create-inputs 0.039
f:count-targets-list 0.004
f:create-targets 0.520
f:create-hidden-inputs 0.060
f:create-hidden-outputs 0.058
f:create-final-inputs 0.054
f:create-final-outputs 0.008
f:compute-output-errors 0.025
f:compute-hidden-layer-errors 2.612
f:compute-Ek_times_Ok 0.030
f:compute-One_minus_Ok 0.017
f:compute-updated-layer-values 0.003
f:compute-output-transposed 0.003
f:compute-weight-changes 0.003
f:compute-learning-rate-multiplied-by-weight-changes 0.100
f:compute-updated-who 0.034
f:compute-Ek_times_Ok-v2 0.006
f:compute-One_minus_Ok-v2 0.008
f:compute-updated-layer-values-v2 0.006
f:compute-output-transposed-v2 0.004
f:compute-weight-changes-v2 0.004
f:compute-learning-rate-multiplied-by-weight-changes-v2 0.060
f:compute-updated-wih 0.027
f:compute-neural-network-with-new-wih 4.959
f:compute-neural-network-with-new-wih-and-new-who 0.085
Total Time: 8.742
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